Resonance-based non-invasive blood viscosity monitoring method and system

Abstract

The application belongs to the field of blood viscosity monitoring, and provides a resonance-based non-invasive blood viscosity monitoring method and system. The method comprises determining corresponding resonance frequency and resonance incidence angle; the signal wave of the resonance frequency is incident to the target blood vessel region of the current individual at the resonance incidence angle each time the measurement is performed, and the signal wave characteristic parameter at each time of measurement is extracted; the signal wave characteristic parameter comprises the propagation speed of the signal wave in the blood, the attenuation rate of the signal wave, the change of the phase of the signal wave, and the reflection intensity of the signal wave; the change direction of the blood viscosity in single detection is inferred according to the change of the propagation speed of the signal wave in the blood in the single detection process; and the blood viscosity value in single detection is obtained based on all the signal wave characteristic parameters in the single detection process and the relationship model of the signal wave characteristic parameters and the blood viscosity which is constructed in advance.

Description

Technical Field

[0001] This invention belongs to the field of blood viscosity monitoring, and particularly relates to a non-invasive blood viscosity monitoring method and system based on resonance. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] Blood viscosity is an important parameter reflecting the rheological properties of blood and directly affects the flow of blood in blood vessels. Blood viscosity is closely related to blood rheology, vascular elasticity, and blood cell aggregation properties, playing a key role in the human circulatory system.

[0004] Currently, blood viscosity detection mainly relies on invasive methods such as centrifugation, capillary action, and laminar viscometry. While these methods offer high accuracy and mature technology, they are typically performed in laboratory settings and still have drawbacks and limitations in practical use. For example, blood sample collection usually requires invasive extraction, which carries risks such as infection. Furthermore, these methods require patients to visit the hospital regularly for testing, making real-time monitoring difficult and failing to capture dynamic changes in blood viscosity. Summary of the Invention

[0005] To address the aforementioned technical problems, this invention provides a non-invasive blood viscosity monitoring method and system based on resonance. It achieves non-invasive and real-time monitoring of blood viscosity by analyzing the reflection of signal waves (such as ultrasound, microwave, and laser) and the resonance frequency of traveling waves with particles in the blood (such as red blood cells, white blood cells, and platelets).

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] The first aspect of the present invention provides a non-invasive blood viscosity monitoring method based on resonance.

[0008] In one or more embodiments, a resonance-based noninvasive blood viscosity monitoring method is provided, comprising:

[0009] The signal wave is incident on the target blood vessel area of ​​the current individual to determine its corresponding resonance frequency and resonance incident angle.

[0010] During each measurement, a signal wave at the resonant frequency is incident on the target blood vessel region of the current individual at a resonant incident angle, and the characteristic parameters of the signal wave at each measurement are extracted; the characteristic parameters of the signal wave include the propagation speed of the signal wave in the blood, the attenuation rate of the signal wave, the change of the phase of the signal wave, and the reflection intensity of the signal wave;

[0011] Based on the changes in the propagation speed of the signal wave in the blood during a single detection process, the direction of blood viscosity change during a single detection is inferred; based on all signal wave characteristic parameters during a single detection process and a pre-constructed relationship model between signal wave characteristic parameters and blood viscosity, the blood viscosity value of a single detection is obtained.

[0012] As one embodiment of the first aspect of the present invention, the expression for the relationship model between signal wave characteristic parameters and blood viscosity is as follows:

[0013]

[0014] in, This represents the blood viscosity value from a single test. The number of measurements during a single detection process; Indicates different numbers of measurements; For the first The speed at which the signal wave propagates in the blood is measured; For the first The attenuation rate of the signal wave measured in this step; For the first Changes in the phase of the signal wave during the measurement; For the first The reflected intensity of the signal wave measured in this step; This is a constant term, representing the offset in the relational model; These are the regression coefficients of the corresponding signal wave characteristic parameters, representing the degree of influence of the corresponding signal wave characteristic parameters on blood viscosity.

[0015] As one embodiment of the first aspect of the present invention, let the first... The speed at which the signal wave in the blood propagates in this measurement is: Its expression is:

[0016]

[0017] in, The distance between the incident and exit points of the signal wave. For the first The measurement takes the time between the incident point and the exit point of the signal wave.

[0018] As one embodiment of the first aspect of the present invention, let the first... The change in the phase of the signal wave during this measurement is Its expression is:

[0019]

[0020] in, The incident length of the signal wave; The incident frequency of the signal wave is the resonant frequency.

[0021] As one embodiment of the first aspect of the present invention, let the first... The attenuation rate of the signal wave measured in this step is Its expression is:

[0022]

[0023] in, The distance between the incident and exit points of the signal wave. It is the initial signal wave intensity.

[0024] As one embodiment of the first aspect of the present invention, signal waves of different frequencies are incident on the target blood vessel region of the same individual at a fixed angle, the frequency corresponding to the moment when the reflection intensity of the signal wave is the lowest is determined and used as the resonant frequency of the current individual, and the fixed angle is the resonant angle of the current individual.

[0025] In another embodiment of the first aspect of the present invention, a signal wave of a fixed frequency is incident on the target blood vessel region of the same individual at different angles, and the fixed angle corresponding to the moment when the reflection intensity of the signal wave is the lowest is determined as the resonance angle of the current individual, and the fixed frequency is the resonance frequency of the current individual.

[0026] A second aspect of the present invention provides a non-invasive blood viscosity monitoring device based on resonance.

[0027] In one or more embodiments, a resonance-based noninvasive blood viscosity monitoring device includes:

[0028] The resonant frequency and angle determination module is used to incident a signal wave onto the target blood vessel region of the current individual and determine its corresponding resonant frequency and resonant incident angle.

[0029] The signal wave feature parameter extraction module is used to incident a signal wave of the resonant frequency at a resonant incident angle onto the target blood vessel region of the current individual during each measurement, and extract the signal wave feature parameters for each measurement; the signal wave feature parameters include the propagation speed of the signal wave in the blood, the attenuation rate of the signal wave, the change of the phase of the signal wave, and the reflection intensity of the signal wave;

[0030] The blood viscosity detection module is used to infer the direction of blood viscosity change in a single test based on the change in the propagation speed of the signal wave in the blood during a single test; and to obtain the blood viscosity value of a single test based on all signal wave characteristic parameters in a single test and a pre-built relationship model between signal wave characteristic parameters and blood viscosity.

[0031] In one embodiment of the second aspect of the present invention, the expression for the relationship model between the signal wave characteristic parameters and blood viscosity in the blood viscosity detection module is as follows:

[0032]

[0033] in, This represents the blood viscosity value from a single test. The number of measurements during a single detection process; Indicates different numbers of measurements; For the first The speed at which the signal wave propagates in the blood is measured; For the first The attenuation rate of the signal wave measured in this step; For the first Changes in the phase of the signal wave during the measurement; For the first The reflected intensity of the signal wave measured in this step; This is a constant term, representing the offset in the relational model; These are the regression coefficients of the corresponding signal wave characteristic parameters, representing the degree of influence of the corresponding signal wave characteristic parameters on blood viscosity.

[0034] In one or more embodiments, a resonance-based non-invasive blood viscosity monitoring device is also provided, comprising:

[0035] A signal wave transmitter emits a signal wave of a certain frequency or a continuous frequency, which is then incident on the target blood vessel area at a certain angle.

[0036] A sensor probe is positioned at the point where the signal wave is emitted; the sensor probe is used to receive the reflected wave of the signal wave.

[0037] The signal processor is configured as follows:

[0038] Based on the signal wave information transmitted from the signal wave transmitter and sensor probe, determine the resonant frequency and resonant incident angle of the current individual.

[0039] During each measurement, a signal wave at the resonant frequency is incident on the target blood vessel region of the current individual at a resonant incident angle, and the characteristic parameters of the signal wave at each measurement are extracted; the characteristic parameters of the signal wave include the propagation speed of the signal wave in the blood, the attenuation rate of the signal wave, the change of the phase of the signal wave, and the reflection intensity of the signal wave;

[0040] Based on the changes in the propagation speed of the signal wave in the blood during a single detection process, the direction of blood viscosity change during a single detection is inferred; based on all signal wave characteristic parameters during a single detection process and a pre-constructed relationship model between signal wave characteristic parameters and blood viscosity, the blood viscosity value of a single detection is obtained.

[0041] A third aspect of the present invention provides a computer-readable storage medium.

[0042] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the resonance-based noninvasive blood viscosity monitoring method described above.

[0043] A fourth aspect of the present invention provides an electronic device.

[0044] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the resonance-based noninvasive blood viscosity monitoring method described above.

[0045] Compared with the prior art, the beneficial effects of the present invention are:

[0046] (1) In the process of non-invasive blood viscosity detection in the human body, the present invention analyzes the changes in blood viscosity based on the principle of resonance between signal wave and microparticles in blood, extracts feature values ​​related to blood viscosity, and fits the feature values ​​to realize long-term monitoring of human blood viscosity.

[0047] (2) This invention utilizes the phenomenon that a signal wave is incident on the target blood vessel area at a certain angle at a specific frequency and resonates with microparticles in the blood vessel, such as red blood cells, to detect the effect of medium viscosity on the resonance frequency and attenuation. It can more sensitively capture minute viscosity changes. The signal resonance method amplifies the signal of blood viscosity changes and greatly improves the detection sensitivity. Attached Figure Description

[0048] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0049] Figure 1 This is a schematic flowchart of the non-invasive blood viscosity monitoring method based on resonance according to an embodiment of the present invention;

[0050] Figure 2 This is a schematic diagram illustrating the relationship between different blood viscosities and the intensity of reflected signals in an embodiment of the present invention;

[0051] Figure 3 This is a schematic diagram of the structure of a non-invasive blood viscosity monitoring device based on resonance according to an embodiment of the present invention;

[0052] Figure 4 This is a schematic diagram of an electronic device according to an embodiment of the present invention;

[0053] Figure 5 This is a schematic diagram of a non-invasive blood viscosity monitoring device based on resonance and an integrated patch, according to an embodiment of the present invention.

[0054] Figure 6 This is a schematic diagram of a non-invasive blood viscosity monitoring device based on resonance and a detachable patch, according to an embodiment of the present invention. Detailed Implementation

[0055] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0056] It should be noted that the following detailed description is illustrative and intended to provide further explanation of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0057] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0058] The principle of the non-invasive blood viscosity monitoring based on resonance in this invention is as follows:

[0059] First, a signal source emits a signal wave that is incident on the target blood vessel region. The signal wave is reflected by particles in the blood, and sensors can detect the characteristics of the reflected signal, such as the reflection intensity. By adjusting the angle or frequency of the incident signal wave, resonance can be achieved between the signal wave and the particles in the blood vessel. More energy from the signal wave is transferred to the particles, resulting in a significant change in the characteristics of the reflected signal wave, such as a sharp decrease in reflection intensity. Since the resonance between the signal wave and the particles in the blood vessel is also affected by blood viscosity, if the blood viscosity changes, the resonance environment changes, weakening or even eliminating the resonance effect. This results in a change in the detected characteristic value of the reflected signal compared to the time of resonance. This change is related to blood viscosity. By constructing a correlation model and measuring the change in characteristic value, changes in blood viscosity can be monitored non-invasively and continuously.

[0060] In this invention, blood viscosity is an important parameter reflecting the rheological properties of blood, directly affecting the flow of blood in blood vessels. It is closely related to blood rheology, vascular elasticity, and blood cell aggregation properties, playing a crucial role in the human circulatory system.

[0061] Signal wave resonance: The basic principle of the signal wave resonance method is to emit signal waves of a certain frequency into a medium (such as blood) and observe the propagation characteristics of these waves in the medium. When the frequency of the signal wave matches the natural resonant frequency of the medium, a resonance phenomenon occurs, causing changes in the propagation speed, reflection, and scattering of the sound wave in the medium.

[0062] Unlike the vibrational frequencies of solid objects in physics, substances in blood do not possess a fixed "natural frequency." Therefore, when measuring blood viscosity using the signal wave resonance method, the signal "resonance" used does not refer to the mechanical resonance of a solid object in the traditional sense, but rather to the resonance phenomenon when a signal wave interacts with a medium. This usually occurs through a "transmitted resonance." The resonance frequency in this case is determined by the physical properties of the substances in the blood, such as density, viscosity, elasticity, elastic modulus, and absorption coefficient. These properties affect the propagation, reflection, refraction, and absorption of sound waves by the medium.

[0063] When the incident angle and frequency of a signal wave match certain physical properties of blood or vascular tissue, specific wave propagation phenomena occur. At certain frequencies, the wavelength of the signal wave is exactly the same as the size of tiny particles in the blood (such as blood cells and lipid particles), causing the signal wave to resonate with these particles.

[0064] In a resonant state, the signal wave causes the blood components to vibrate together, resulting in a significantly increased amplitude of mechanical vibration. At this point, most of the energy in the signal wave is transferred to the blood, leaving relatively little energy stored within the signal wave. Therefore, the intensity of the reflected signal wave reaches its minimum. Furthermore, due to intermolecular friction caused by vibration, some energy is further converted into heat. Thus, in a resonant state, the energy of the reflected signal wave is reduced, and the reflection intensity reaches its lowest point.

[0065] The signal resonance method utilizes the resonance phenomenon of sound waves at specific frequencies to detect the effect of medium viscosity on the resonance frequency and attenuation, enabling more sensitive detection of minute viscosity changes. The signal resonance method amplifies the signal of blood viscosity changes, significantly improving detection sensitivity.

[0066] Figure 1 This is a flowchart illustrating a non-invasive blood viscosity monitoring method based on resonance, as described in an embodiment of the present invention. Figure 1 The resonance-based non-invasive blood viscosity monitoring method shown in this embodiment may include:

[0067] S101, the signal wave is incident on the target blood vessel area of ​​the current individual to determine its corresponding resonance frequency and resonance incident angle;

[0068] S102, each time a measurement is performed, the signal wave of the resonant frequency is incident on the target blood vessel area of ​​the current individual at the resonant incident angle, and the signal wave characteristic parameters of each measurement are extracted; the signal wave characteristic parameters include the propagation speed of the signal wave in the blood, the attenuation rate of the signal wave, the change of the phase of the signal wave, and the reflection intensity of the signal wave;

[0069] S103, based on the change in the propagation speed of the signal wave in the blood during a single detection process, infer the direction of blood viscosity change in a single detection; based on all signal wave characteristic parameters during a single detection process and the pre-constructed relationship model between signal wave characteristic parameters and blood viscosity, obtain the blood viscosity value of a single detection.

[0070] In step S101, in some optional embodiments, the signal wave is at a fixed angle. The signal wave is incident on the skin at an oblique angle into the target area. The signal wave frequency is increased from 0, and the intensity of the received signal wave is detected. As the signal wave frequency continues to increase, its reflection intensity is detected. When the reflection intensity reaches a certain level... When the frequency reaches its lowest point, record the frequency at that moment. This is the resonant frequency. This is the fixed angle. This represents the resonance angle of the current individual.

[0071] In some alternative embodiments, a signal wave of a fixed frequency is incident on the target blood vessel region of the same individual at different angles, and the fixed angle corresponding to the moment when the reflection intensity of the signal wave is the lowest is determined as the resonance angle of the current individual, and the fixed frequency is the resonance frequency of the current individual.

[0072] In step S102, when blood viscosity changes, the incident angle and resonant frequency of the signal wave remain unchanged, but the intensity of the received signal wave will change. When blood viscosity increases or decreases, the signal wave gradually deviates from its original resonant state with the blood system, energy loss gradually decreases, and reflection intensity gradually increases.

[0073] However, the effects of increasing and decreasing viscosity on signal wave propagation and received signals are not entirely symmetrical. When viscosity increases, the blood's hindering effect on signal waves (absorption, scattering, etc.) is usually stronger. This effect is generally more pronounced with increasing viscosity because blood viscosity is directly proportional to the fluid's internal friction, making wave propagation more difficult and increasing energy loss. While decreasing viscosity increases propagation speed and reduces attenuation, the increase is not as significant as with increasing viscosity, because lower viscosity allows for smoother blood flow and less change in the wave propagation path. Therefore, the signal enhancement effect is relatively weaker than with increasing viscosity. A schematic diagram of the intensity of reflected signal waves at different blood viscosities is shown below. Figure 2 As shown.

[0074] To better distinguish the changing trends of blood viscosity, it is necessary to combine other signal wave characteristics for calculation and judgment. Changes in blood viscosity affect the propagation speed of signal waves in the blood; therefore, changes in propagation speed can serve as a key indicator for judging increases or decreases in viscosity. The distance between the signal wave's incident and exit points is used as a metric. and angle of incidence Keep it fixed, and transmit at a fixed frequency continuously. The signal wave detection method detects changes in the propagation speed of the signal wave in blood. The speed of sound is the speed at which a signal wave propagates in a medium (such as blood), and it is closely related to the density and elastic modulus of the medium. Its calculation formula is:

[0075]

[0076] in, It's the speed of sound. The bulk modulus of elasticity of the medium. The density is the medium.

[0077] In actual measurement, this can be obtained by measuring the propagation time and distance of the signal wave. The specific calculation formula is as follows:

[0078]

[0079] in, The distance between the incident and exit points of the signal wave. The propagation time of the signal wave from the point of incidence to the point of exit.

[0080] As viscosity increases, the propagation speed of signal waves typically decreases because higher viscosity increases the resistance of blood to signal waves. Conversely, as viscosity decreases, the propagation speed of signal waves typically increases because lower viscosity blood offers less resistance. By measuring the propagation time (delay) or propagation speed of signal waves, the direction of change in blood viscosity can be inferred.

[0081] During signal propagation, energy attenuation occurs due to absorption and scattering. Changes in blood viscosity affect signal absorption, thus influencing its attenuation rate. Corresponding changes will also occur. The specific calculation formula is as follows:

[0082]

[0083] in, It is the intensity of the signal wave at the detection point. It is the initial signal wave intensity.

[0084] In resonance phenomena, the phase of the reflected wave changes due to the interaction between the signal wave and the blood or blood vessels. When blood viscosity increases, the propagation speed of the signal wave slows down, and the phase delay relatively increases; conversely, when viscosity decreases, the opposite occurs. This phase change is closely related to the propagation path of the sound wave in the medium and the physical properties of the medium (such as viscosity and density), as shown in the following equation:

[0085]

[0086]

[0087] in, For the phase change of the signal wave, The incident length of the signal wave. The incident frequency of the signal wave, This represents the propagation speed of the signal wave.

[0088] In step S103, the relationship model between the signal wave feature parameters and blood viscosity can be modeled using machine learning or deep learning methods such as Partial Least Squares (PLS), Principal Component Regression (PCR), Support Vector Regression (SVR), Random Forest Regression, K-Nearest Neighbors (KNN), Convolutional Neural Network (CNN), Long Short-Term Memory Network (LSTM), Gaussian Process Regression (GPR), and multivariate correction models to fit the processed signal wave data with blood viscosity. The expression for the fitted relationship model between the signal wave feature parameters and blood viscosity is as follows:

[0089]

[0090] in, This represents the blood viscosity value from a single test. The number of measurements during a single detection process; Indicates different numbers of measurements; For the first The speed at which the signal wave propagates in the blood is measured; For the first The attenuation rate of the signal wave measured in this step; For the first Changes in the phase of the signal wave during the measurement; For the first The reflected intensity of the signal wave measured in this step; This is a constant term, representing the offset in the relational model; These are the regression coefficients of the corresponding signal wave characteristic parameters, representing the degree of influence of the corresponding signal wave characteristic parameters on blood viscosity.

[0091] Among them, the The speed of the signal wave propagating in the blood was measured in this study. The expression is:

[0092]

[0093] in, The distance between the incident and exit points of the signal wave. For the first The measurement takes the time between the incident point and the exit point of the signal wave.

[0094] No. Changes in the phase of the signal wave during this measurement The expression is:

[0095]

[0096] in, The incident length of the signal wave; The incident frequency of the signal wave is the resonant frequency.

[0097] No. The attenuation rate of the signal wave measured in this step is The expression is:

[0098]

[0099] in, The distance between the incident and exit points of the signal wave. It is the initial signal wave intensity.

[0100] During a single test, if the speed of signal wave propagation in the blood decreases, the blood viscosity increases; if the speed of signal wave propagation in the blood increases, the blood viscosity decreases.

[0101] Blood viscosity was measured by taking blood samples multiple times within the day prior to use, and feature values ​​were obtained using the same method. The blood viscosity values ​​were then input into the model to calibrate the individual and correct the parameters of the fitted curve to make it more suitable for individual measurements.

[0102] In the process of non-invasive blood viscosity detection in the human body, this invention analyzes the changes in blood viscosity based on the signal resonance principle, extracts feature values ​​related to blood viscosity, fits the feature values, and monitors human blood viscosity over a long period of time.

[0103] Figure 3 This is a schematic diagram of a non-invasive blood viscosity monitoring device based on resonance according to an embodiment of the present invention. This embodiment is similar to... Figure 1 Corresponding to the resonance-based non-invasive blood viscosity monitoring method, such as Figure 3 As shown, the resonance-based non-invasive blood viscosity monitoring device in this embodiment may include:

[0104] The resonance frequency and angle determination module 301 is used to incident a signal wave onto the target blood vessel region of the current individual and determine its corresponding resonance frequency and resonance incident angle.

[0105] The signal wave feature parameter extraction module 302 is used to incident a signal wave of the resonant frequency onto the target blood vessel region of the current individual at a resonant incident angle during each measurement, and extract the signal wave feature parameters for each measurement; the signal wave feature parameters include the propagation speed of the signal wave in the blood, the attenuation rate of the signal wave, the change of the phase of the signal wave, and the reflection intensity of the signal wave;

[0106] The blood viscosity detection module 303 is used to infer the direction of blood viscosity change in a single detection based on the change in the propagation speed of the signal wave in the blood during a single detection process; and to obtain the blood viscosity value of a single detection based on all signal wave characteristic parameters in a single detection process and a pre-built relationship model between signal wave characteristic parameters and blood viscosity.

[0107] In the blood viscosity detection module 303, the expression for the relationship model between the signal wave characteristic parameters and blood viscosity is as follows:

[0108]

[0109] in, This represents the blood viscosity value from a single test. The number of measurements during a single detection process; Indicates different numbers of measurements; For the first The speed at which the signal wave propagates in the blood is measured; For the first The attenuation rate of the signal wave measured in this step; For the first Changes in the phase of the signal wave during the measurement; For the first The reflected intensity of the signal wave measured in this step; This is a constant term, representing the offset in the relational model; These are the regression coefficients of the corresponding signal wave characteristic parameters, representing the degree of influence of the corresponding signal wave characteristic parameters on blood viscosity.

[0110] It should be noted here that, Figure 3 The various modules in the resonance-based non-invasive blood viscosity monitoring device, and... Figure 1 Each step in the resonance-based non-invasive blood viscosity monitoring method corresponds to the previous one, and their specific implementation process is the same, so it will not be repeated here.

[0111] Reference Figure 4 A schematic diagram of an electronic device is provided. It should be noted that... Figure 4 The electronic device 400 shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0112] like Figure 4 As shown, the electronic device 400 includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 402 or a program loaded from a storage section 408 into a random access memory (RAM) 403. The RAM 403 also stores various programs and data required for system operation. The CPU 401, ROM 402, and RAM 403 are interconnected via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0113] The following components are connected to I / O interface 405: an input section 406 including a keyboard, mouse, etc.; an output section 407 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 408 including a hard disk, etc.; and a communication section 409 including a network interface card such as a local area network (LAN) card, modem, etc. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to I / O interface 405 as needed. A removable medium 411, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on drive 410 as needed so that computer programs read from it can be installed into storage section 408 as needed.

[0114] When the central processing unit 401 in the electronic device of this embodiment executes the program, it achieves the following: Figure 1 The steps in the resonance-based noninvasive blood viscosity monitoring method are shown.

[0115] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including functions for executing... Figure 1 The program code for the method shown. In such an embodiment, the computer program can be downloaded and installed from a network via communication section 409, and / or installed from removable medium 411. When the computer program is executed by central processing unit 401, it performs the various functions defined in the apparatus of this application.

[0116] in, Figure 1 The computer program instructions corresponding to the method shown may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in the process. Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0117] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0118] In other embodiments, such as Figure 5 and Figure 6 As shown, a non-invasive blood viscosity monitoring device based on resonance is also provided, comprising:

[0119] The signal wave transmitter 501 emits a signal wave of a certain frequency or a continuous frequency, which is incident on the target blood vessel area at a certain angle.

[0120] The sensor probe 502 is positioned at the point where the signal wave is emitted; the sensor probe is used to receive the reflected wave of the signal wave.

[0121] Signal processor 503 is configured as follows:

[0122] Based on the signal wave information transmitted from the signal wave transmitter and sensor probe, determine the resonant frequency and resonant incident angle of the current individual.

[0123] During each measurement, a signal wave at the resonant frequency is incident on the target blood vessel region of the current individual at a resonant incident angle, and the characteristic parameters of the signal wave at each measurement are extracted; the characteristic parameters of the signal wave include the propagation speed of the signal wave in the blood, the attenuation rate of the signal wave, the change of the phase of the signal wave, and the reflection intensity of the signal wave;

[0124] Based on the changes in the propagation speed of the signal wave in the blood during a single detection process, the direction of blood viscosity change during a single detection is inferred; based on all signal wave characteristic parameters during a single detection process and a pre-constructed relationship model between signal wave characteristic parameters and blood viscosity, the blood viscosity value of a single detection is obtained.

[0125] The signal wave transmitter 501 can adjust the frequency and angle, allowing for selection of the incident angle and resonant frequency. When the signal wave reaches resonance, the patch incident the signal wave at a fixed angle and frequency, monitoring the change in the frequency of the reflected signal wave during changes in blood viscosity. The received signal is analyzed and processed, and characteristic parameters related to changes in blood viscosity, such as signal wave propagation speed, phase change, and attenuation rate, are extracted.

[0126] The resonance-based non-invasive blood viscosity monitoring device offers multiple detection locations, including the wrist, neck, fingertips, and earlobe. The probe can be installed in two ways: a separate patch and an integrated patch. The separate probe connects to the detection device via a wire, and the probe is tilted at a certain distance, following the approximate direction of the blood vessels. Arrange the vessels in a straight line. During the arrangement process, ensure that the measured blood vessels do not have branches or junctions. Figure 5 It is an integrated patch structure, in which the signal wave transmitter 501 and the sensor probe 502 are integrated with the signal processor 503. Figure 6 It is a separate patch structure, in which the signal wave transmitter 501 and the sensor probe 502 are separated from the signal processor 503.

[0127] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A non-invasive blood viscosity monitoring method based on resonance, characterized by, The method comprises the following steps: a signal wave is incident to a target blood vessel region of a current individual to determine a corresponding resonance frequency and a resonance incident angle; a signal wave of the resonance frequency is incident to the target blood vessel region of the current individual at the resonance incident angle each time a measurement is taken, and a signal wave characteristic parameter at each time a measurement is taken is extracted; the signal wave characteristic parameter comprises a signal wave propagation speed in blood, a signal wave attenuation rate, a signal wave phase change, and a signal wave reflection intensity; a blood viscosity change direction of a single detection is inferred according to a signal wave propagation speed change in blood in a single detection process; and a blood viscosity value of the single detection is obtained based on all signal wave characteristic parameters in the single detection process and a relationship model of the signal wave characteristic parameters and the blood viscosity.

2. The resonance-based noninvasive blood viscosity monitoring method of claim 1, wherein, An expression of the relationship model of the signal wave characteristic parameters and the blood viscosity is as follows: wherein, is a blood viscosity value of a single detection; is a number of measurements in a single detection process; represents different measurement times; is a signal wave propagation speed in blood of the measurement; is an attenuation rate of the signal wave of the measurement; is a change in the signal wave phase in the measurement; is a reflection intensity of the signal wave of the measurement; is a constant term, representing a shift of the relationship model; are regression coefficients of the corresponding signal wave characteristic parameters, respectively, representing the influence degree of the corresponding signal wave characteristic parameters on the blood viscosity.

3. The resonance-based noninvasive blood viscosity monitoring method according to claim 1 or 2, wherein, The signal wave propagation speed in blood in the first measurement is The signal wave propagation speed in blood in the first measurement is The signal wave propagation speed in blood in the first measurement is The signal wave propagation speed in blood in the first measurement is The signal wave propagation speed in blood in the first measurement is in, The distance between the incident and exit points of the signal wave. For the first The time it takes for the signal wave to travel from the incident point to the exit point in this measurement; The incident length of the signal wave; The incident frequency of the signal wave is the resonant frequency.

4. The resonance-based noninvasive blood viscosity monitoring method according to claim 1 or 2, wherein, The first The attenuation rate of the signal wave of the second measurement is The expression is: wherein is the distance between the point of incidence and the point of exit of the signal wave, is the initial signal wave intensity.

5. The noninvasive blood viscosity monitoring method based on resonance as claimed in claim 1, wherein, a signal wave of different frequencies is incident to a target blood vessel region of a same individual at a fixed angle, a frequency corresponding to a moment when a signal wave reflection intensity is the lowest is determined as a resonance frequency of the current individual, and the fixed angle is a resonance angle of the current individual.

6. The resonance-based noninvasive blood viscosity monitoring method according to claim 1, wherein, Or a signal wave of a fixed frequency is incident to a target blood vessel region of a same individual at different angles, a fixed angle corresponding to a moment when a signal wave reflection intensity is the lowest is determined as a resonance angle of the current individual, and the fixed frequency is a resonance frequency of the current individual.

7. A non-invasive blood viscosity monitoring device based on resonance, characterized by The method comprises the following steps: a resonance frequency and angle determination module is configured to cause a signal wave to be incident to a target blood vessel region of a current individual to determine a corresponding resonance frequency and a resonance incident angle; a signal wave characteristic parameter extraction module is configured to cause a signal wave of the resonance frequency to be incident to the target blood vessel region of the current individual at the resonance incident angle each time a measurement is taken, and to extract a signal wave characteristic parameter at each time a measurement is taken; the signal wave characteristic parameter comprises a signal wave propagation speed in blood, a signal wave attenuation rate, a signal wave phase change, and a signal wave reflection intensity; a blood viscosity detection module is configured to infer a blood viscosity change direction of a single detection according to a signal wave propagation speed change in blood in a single detection process, and to obtain a blood viscosity value of the single detection based on all signal wave characteristic parameters in the single detection process and a relationship model of the signal wave characteristic parameters and the blood viscosity.

8. The resonance-based noninvasive blood viscosity monitoring device of claim 7, wherein, In the blood viscosity detection module, an expression of the relationship model of the signal wave characteristic parameters and the blood viscosity is as follows: wherein, is a blood viscosity value of a single detection; is a number of measurements in a single detection process; denotes different measurement times; is a signal wave propagation speed in blood of the measurement; is an attenuation rate of the signal wave of the measurement; is a change of the signal wave phase in the measurement; is a reflection intensity of the signal wave of the measurement; is a constant term, indicating a shift of the relationship model; are regression coefficients of the corresponding signal wave characteristic parameters, respectively, representing an influence degree of the corresponding signal wave characteristic parameters on the blood viscosity.

9. A non-invasive blood viscosity monitoring device based on resonance, characterized by The method comprises the following steps: a signal wave transmitter is configured to transmit a signal wave of a certain frequency or continuous frequencies so that the signal wave is incident to a target blood vessel region at a certain angle; a sensor probe is arranged at a signal wave exit point position; the sensor probe is configured to receive a reflected wave of the signal wave; a signal processor is configured to: determine a resonance frequency and a resonance incident angle corresponding to a current individual according to signal wave information transmitted by the signal wave transmitter and the sensor probe; cause a signal wave of the resonance frequency to be incident to the target blood vessel region of the current individual at the resonance incident angle each time a measurement is taken, and extract a signal wave characteristic parameter at each time a measurement is taken; the signal wave characteristic parameter comprises a signal wave propagation speed in blood, a signal wave attenuation rate, a signal wave phase change, and a signal wave reflection intensity; According to the change of the signal wave propagation speed in blood in a single detection process, the change direction of the blood viscosity in the single detection is inferred; and based on all signal wave characteristic parameters in the single detection process and a relationship model of the signal wave characteristic parameters and the blood viscosity constructed in advance, the blood viscosity value in the single detection is obtained.

10. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor implements the steps in the resonance-based non-invasive blood viscosity monitoring method of any one of claims 1-6 when executing the program.

Images